Robotic systems are desirable in many applications, particularly when the aim is to reduce human presence, for example in dangerous scenarios such as search and rescue missions. Such domains are typically dynamic and highly unpredictable, actions of robots are nondeterministic and limited bandwidth and communication failures further add to the hostility of the environment. Accurate predictions of the outcomes of a robot's actions are virtually impossible in such domains. For such robotic systems to operate in realtime, approximative models and algorithms are required which help to estimate the outcome with highest possible confidence.
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